Research Data Leeds Repository

Data on coupled hydrothermal flow in fine sands based on X-ray CT imaging and numerical simulation

Citation

Lui, Kui and Loveridge, Fleur and Boardman, Richard and Powrie, William (2022) Data on coupled hydrothermal flow in fine sands based on X-ray CT imaging and numerical simulation. University of Leeds. [Dataset] https://doi.org/10.5518/1200

Dataset description

Coupled hydrothermal flow can occur in soils, for example in applications such as ground heat storage and nuclear waste disposal. Therefore, approaches to quantitative analysis of water transfer in response to imposed thermal gradients are required, especially in unsaturated conditions. Analysis methods also require validation by laboratory and field data, which can be hard to obtain. This dataset includes the processed results from X-ray µCT experiments where specimens of a fine sand and a fine silty sand were subjected to heating from their base. Repeated scans, set up to balance image quality and scan duration, were carried out during the heating process, on specimens between 20% and 50% saturation. Gaussian decomposition techniques were used to determine the changing soil phase proportions throughout the experiments, which are reported here. The CT data is accompanied by COMSOL files for simulation of the experiments on the fine sand. The dataset is to accompany the paper at https://doi.org/10.1016/j.gete.2022.100380 and provides the processed information used to construct the key results figures in that paper.

Keywords: Hydrothermal flow, Unsaturated soils, X-ray μCT techniques, Soil saturation, Grain size
Subjects: H000 - Engineering > H200 - Civil engineering > H250 - Geotechnical engineering
Divisions: Faculty of Engineering and Physical Sciences > School of Civil Engineering
Related resources:
LocationType
https://doi.org/10.1016/j.gete.2022.100380Publication
https://eprints.whiterose.ac.uk/189700/Publication
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 05 Aug 2022 14:32
URI: https://archive.researchdata.leeds.ac.uk/id/eprint/1008

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